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The difference between wisdom and big data
Big data is an intangible means of production in the information society, and its concept has been constantly interpreted in various versions by all walks of life. But many people don't know the relationship between big data, Internet of Things and smart cities. In this regard, Ying Zhao, technical director of Tongfang Internet of Things Industry Application Headquarters, made a detailed interpretation. The relationship among big data, Internet of Things and smart cities is simply: the development of big data stems from the application of Internet of Things technology to support the development of smart cities. With the expansion of Internet applications, the Internet of Things technology is in a great development stage. The Internet of Things is the foundation of smart cities, but the scope of smart cities is wider than the Internet of Things. The measurement indicators of smart cities are embodied by big data, which promotes the development of smart cities; The Internet of Things is the catalyst for the generation of big data, which originates from the application of the Internet of Things.

China has entered the era of big data.

Some people say that big data is coming, but only in the United States, not in China. Tongfang, who specializes in government data management, believes that China's understanding of big data is generally not as profound as that of the United States, or different from that of the United States, but it is undeniable that China has entered the era of big data. Now many ministries and commissions in China are studying and applying big data. The United States promoted big data to a national strategy, which China did not explicitly propose, but promoted big data to the same level as national defense, and several ministries jointly introduced incentives. Our government is rapidly increasing its sensitivity to big data and is taking measures. Therefore, China has entered the era of big data, which is popularized from top to bottom at the government level. It may not have reached the level of ordinary people, but governments at all levels have attached great importance to it. Academician Wu once said: "China will produce the largest amount of data in the world, and we should pay attention to the development, utilization and management of big data."

The key to big data is sharing. One of the bottlenecks in the development of smart cities in China lies in the information island effect, and various government departments are unwilling to disclose and refine the data, resulting in data fragmentation and unable to generate the deep value of the data. On this issue, some government departments have a clear understanding and began to seek solutions, which is out of their own needs. For example, some government departments were reluctant to share their own data at first, and now they are looking for data exchange partners, because they gradually realize that a single data can't exert the maximum efficiency, and it has become a development trend for departments to exchange data with each other. At the same time, with the development of various aspects and the promotion of policies, many previously undisclosed data are gradually made public, which is a strong support for the development of big data.

Internet of things technology promotes the development of big data. In terms of the significance of the Internet of Things to big data, Ying Zhao exemplified the promotion of the Internet of Things technology to big data. After the July 2/Kloc-0 rainstorm in Beijing last year, the government took many measures to solve it. A very important embodiment is that the Beijing Municipal Science and Technology Commission quickly set up special funds to improve the emergency management capacity and information construction in the affected Fangshan and Mentougou districts. Tongfang participated in the Mentougou project to help Mentougou improve its early warning capability. Tongfang upgraded the original emergency platform in Mentougou. For example, water level monitoring, installing water level gauges under some key overpasses will give an early warning when the water level reaches a certain level, and relevant departments can take some measures accordingly, which is the application of Internet of Things technology.

What is the relationship between Internet of Things technology and big data? When the number of water level meters increases, more data will be collected, and it is easier to find some laws and issue early warning, which is something that can be done naturally by using big data technology. When the number of points is small, the amount of data is not large enough, and only some problems can be solved. Therefore, it is precisely because of the Internet of Things that there are more and more points of big data cloth, and it is logical to analyze real-time data. Data mining, originally aimed at historical data mining, is now aimed at the trend of real-time data mining, indicating that the Internet of Things technology is promoting the development of big data related technologies.

Big data supports the development of smart cities. Urban operation signs are expressed quantitatively by data, but these data are scattered in various government departments. Tongfang's duty is to collect data from various departments about urban operation signs, help urban managers to summarize and analyze the data, and finally manage the quantitative form of urban signs, that is, various data, for government managers to use.

Every decision of government departments needs long-term research, and the research data comes from the long-term accumulation of government departments' operations and urban operations. With the rapid development of government informatization, the government has produced hundreds of terabytes of data. But the data itself has no meaning, and only after a certain systematic analysis can the value of the data be brought into play. Every detail of a smart city will generate huge data.

By then, the operation foundation of smart cities will also come from the in-depth analysis of big data.

The surface of big data is a series of static data piles, but its essence is a series of regular dynamic processes after complex analysis of data. Government departments themselves have not done such a thing and need the support of enterprises. Tongfang saw the significance of big data to urban operations. Choosing the government as a breakthrough is the requirement of the development of the situation and the uniqueness of Tongfang Big Data. It is worth noting that Tongfang Big Data does not participate in government decision-making, but only provides data support for government decision-making. Show the relationship between merchants in the form of intuitive data, show the development, changes and trends of the city with data, analyze and summarize the problems existing in the city, and provide help for the decision-making of government departments.

The management of urban operation signs also needs the promotion of big data. When big data reflects the signs of urban operation, it does not need to understand the main business and operational processes of urban departments. From the data point of view, some laws can be drawn from the data analyzed by computer software, which have nothing to do with the business or results, but can fully reflect the correlation between the data. From the perspective of big data, driving the development of urban operation signs is a pure computer operation mode, which can dig out manpower in the early stage of decision-making. This advantage is the quantification and standardization of operation.

With regard to the development of big data, Internet of Things and smart cities, Wu Zeng, the leader of the leading group of Internet of Things in the State Council, an authoritative expert on information technology in China and an academician of China Academy of Engineering, said with deep feelings: from the Internet of Things to big data, and then to smart cities, it is a process of "learning from things" and achieving "integration of knowledge and action" through analysis and decision-making.

Smart cities benefit everyone's smart cities driven by big data, which is related to everyone's life. The most common example is the weather forecast. The previous weather forecast only predicted the weather, but today's weather forecast will tell the public more information, such as meteorological index, air pollution index, dressing index, driving safety index and so on. Whether it is even beneficial to exercise and its influence on hair style and makeup. This is an intelligent life that ordinary people can experience personally. In the future, education, transportation and other aspects related to people's food, clothing, housing and transportation will become intelligent. In terms of education, we can look at the practices of the United States. Every university in the United States will truthfully show the graduation rate, employment rate and annual salary level of graduates, which is very favorable data support for students to choose their major. In terms of transportation, how to smooth urban traffic, how to find parking spaces and which mode of transportation is more convenient and safe are the future state of smart cities.

Referring to the future development of smart cities, Ying Zhao said: Smart cities come from smart decisions, and smart decisions come from people's wisdom. When everyone is wise, a city will become wise.